Tailoring real-time physical activity coaching systems: a literature survey and model

Abstract

Technology mediated healthcare services designed to stimulate patients' self-efficacy are widely regarded as a promising paradigm to reduce the burden on the healthcare system. The promotion of healthy, active living is a topic of growing interest in research and business. Recent advances in wireless sensor technology and the widespread availability of smartphones have made it possible to monitor and coach users continuously during daily life activities. Physical activity monitoring systems are frequently designed for use over long periods of time placing usability, acceptance and effectiveness in terms of compliance high on the list of design priorities to achieve sustainable behavioral change. Tailoring, or the process of adjusting the system's behavior to individuals in a specific context, is an emerging topic of interest within the field. In this article we report a survey of tailoring techniques currently employed in state of the art real time physical activity coaching systems. We present a survey of state of the art activity coaching systems as well as a conceptual framework which identifies seven important tailoring concepts that are currently in use and how they relate to each other. A detailed analysis of current use of tailoring techniques in real time physical activity coaching applications is presented. According to the literature, tailoring is currently used only sparsely in this field. We underline the need to increase adoption of H. op den Akker (B) • H.

The influence of success experience on self-efficacy when providing feedback through technology

“…The most common technique is to provide previously obtained information about the individual and some also include a tailored goal and tailored inter-human interaction. Although the effectiveness of tailoring based on constructs from behavioral science -or adaptation (Hawkins et al, 2008) -has been proven, Op den Akker et al (2014) show that none of the interventions used adaptation as a tailoring strategy. Such lack of adaptation in technology-supported physical activity interventions was also noticed by Achterkamp et al (submitted for publication), who developed specific feedback strategies for these types of intervention.…”

Computationally Mediated Pro-Social Deception

“…While the abundance of information traces has unlocked a wide range of new kinds of applications (eg. [3] [19]), the creation and potential for disclosure poses new threats to individual privacy and autonomy. The overall lack of transparency by manufacturers regarding how they are capturing and handling personal information has created a heightened sense of unease among many, in addition to the potential threats dealing with their unintentional represents carriers/service providers enabling the communication; blue arrows denote channels controlled by the individual, while dashed arrows denote invisible channels out of their control.…”

Sitting is the new smoking: online complex human activity recognition with smartphones and wearables

“…We do not go into detail on feedback applications, as those can be designed in different ways, for example, interactive games [91]. However, details of the interaction with users for assistive feedback using mobile phones can be found in [48,10,37].…”

“…Earlier work by Lara et al [32], Akker et al [37] and Preece et al [47] provides an outline of relevant research and applicable techniques. These surveys include all wearable solutions.…”

“…There is a number of survey publications that have reviewed the work done so far in this area [9,32,36,37,38]. Though these surveys have partially covered online activity recognition, their focus is mainly on studies with offline analysis.…”